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Adaptive edge-preserving denoising by point-wise wavelet basis selection

Tomić, Mladen; Seršić, Damir
Adaptive edge-preserving denoising by point-wise wavelet basis selection // IET signal processing, 6 (2012), 1; 1-7 doi:10.1049/iet-spr.2010.0240 (međunarodna recenzija, članak, znanstveni)

Adaptive edge-preserving denoising by point-wise wavelet basis selection

Tomić, Mladen ; Seršić, Damir

IET signal processing (1751-9675) 6 (2012), 1; 1-7

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Adaptive lifting scheme ; adaptive wavelet transform ; ICI rule ; signal denoising ; edge-preserving denoising

Wavelet transforms found widespread application in signal denoising. Many adaptive algorithms were proposed to improve their performance, especially about edges in a signal. In this paper, we propose a novel denoising method based on adaptive edge-preserving lifting scheme – ICI-EPL. By incorporating the statistical method of intersection of confidence intervals rule into the lifting scheme, we are able to select the most appropriate wavelet on a point-by-point basis. The resulting transform adapts very well to local signal properties and significantly improves denoising performance. Simulations on various signal classes show that the ICI-EPL in most cases easily outperforms other considered transforms, with the greatest improvement being about edges in a signal. Achieved results bring confidence that the ICI-EPL can be used to improve performance in a variety of denoising applications.

Izvorni jezik

Znanstvena područja
Elektrotehnika, Računarstvo


Fakultet elektrotehnike i računarstva, Zagreb,
Tehnički fakultet, Rijeka

Časopis indeksira:

  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus